default search action
Yongjune Kim 0001
Person information
- unicode name: 김용준
- affiliation: Pohang University of Science and Technology (POSTECH), Department of Electrical Engineering, South Korea
- affiliation (former): Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea
- affiliation (former): Western Digital Research, Milpitas, CA, USA
- affiliation (former, PhD 2016): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Yongjune Kim 0002 — Sogang University, Seoul, Korea
- Yongjune Kim 0003 — Hongik University, Metamaterial Electronic Device Research Center, Seoul, South Korea
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j22]Jun-Woo Tak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No:
New private information retrieval codes for imperfect privacy. ICT Express 10(4): 891-894 (2024) - [j21]Jiwoong Im, Nayoung Kwon, Taewoo Park, Jiheon Woo, Jaeho Lee, Yongjune Kim:
Attention-Aware Semantic Communications for Collaborative Inference. IEEE Internet Things J. 11(22): 37008-37020 (2024) - [i29]Jiwoong Im, Nayoung Kwon, Taewoo Park, Jiheon Woo, Jaeho Lee, Yongjune Kim:
Attention-aware Semantic Communications for Collaborative Inference. CoRR abs/2404.07217 (2024) - [i28]Seong-Joon Park, Heeyoul Kwak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No:
CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes. CoRR abs/2405.01033 (2024) - [i27]Heeyoul Kwak, Daeyoung Yun, Yongjune Kim, Sang-Hyo Kim, Jong-Seon No:
Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks. CoRR abs/2405.13413 (2024) - 2023
- [j20]Junghyun Lee, Eunsang Lee, Joon-Woo Lee, Yongjune Kim, Young-Sik Kim, Jong-Seon No:
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data. IEEE Access 11: 62062-62076 (2023) - [j19]Yongjune Kim, Junyoung Shin, Yuval Cassuto, Lav R. Varshney:
Distributed Boosting Classification Over Noisy Communication Channels. IEEE J. Sel. Areas Commun. 41(1): 141-154 (2023) - [j18]Yuval Ben-Hur, Asaf Goren, Da El Klang, Yongjune Kim, Yuval Cassuto:
Ensemble Classification With Noisy Real-Valued Base Functions. IEEE J. Sel. Areas Commun. 41(4): 1067-1080 (2023) - [j17]Daewon Seo, Yongjune Kim:
Information and Energy Transmission With Wavelet-Reconstructed Harvesting Functions. IEEE Trans. Commun. 71(6): 3274-3287 (2023) - [j16]Daewon Seo, Sung Hoon Lim, Yongjune Kim:
A Context-Aware CEO Problem. IEEE Trans. Commun. 71(12): 6979-6992 (2023) - [j15]Jiheon Woo, Chanhee Yoo, Young-Sik Kim, Yuval Cassuto, Yongjune Kim:
Generalized LRS Estimator for Min-Entropy Estimation. IEEE Trans. Inf. Forensics Secur. 18: 3305-3317 (2023) - [c23]Qing Li, Yongjune Kim, Cyril Guyot:
Rate-Distortion via Energy-Based Models. DCC 2023: 351 - [c22]Heeyoul Kwak, Daeyoung Yun, Yongjune Kim, Sang-Hyo Kim, Jong-Seon No:
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance. NeurIPS 2023 - [i26]Daewon Seo, Yongjune Kim:
Information and Energy Transmission with Wavelet-Reconstructed Harvesting Functions. CoRR abs/2304.01560 (2023) - [i25]Seong-Joon Park, Heeyoul Kwak, Sang-Hyo Kim, Sunghwan Kim, Yongjune Kim, Jong-Seon No:
How to Mask in Error Correction Code Transformer: Systematic and Double Masking. CoRR abs/2308.08128 (2023) - [i24]Daewon Seo, Sung Hoon Lim, Yongjune Kim:
A Context-Aware CEO Problem. CoRR abs/2310.02537 (2023) - [i23]Heeyoul Kwak, Daeyoung Yun, Yongjune Kim, Sang-Hyo Kim, Jong-Seon No:
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance. CoRR abs/2310.07194 (2023) - [i22]Junghyun Lee, Eunsang Lee, Young-Sik Kim, Yongwoo Lee, Joon-Woo Lee, Yongjune Kim, Jong-Seon No:
Optimizing Layerwise Polynomial Approximation for Efficient Private Inference on Fully Homomorphic Encryption: A Dynamic Programming Approach. CoRR abs/2310.10349 (2023) - 2022
- [j14]Heeyoul Kwak, Jae-Won Kim, Yongjune Kim, Sang-Hyo Kim, Jong-Seon No:
Neural Min-Sum Decoding for Generalized LDPC Codes. IEEE Commun. Lett. 26(12): 2841-2845 (2022) - [j13]Yongjune Kim, Euiseok Hwang, B. V. K. Vijaya Kumar:
Writing on dirty flash memory: Combating inter-cell interference via coding with side information. J. Commun. Networks 24(6): 633-644 (2022) - [j12]Yongjune Kim, Yoocharn Jeon, Hyeokjin Choi, Cyril Guyot, Yuval Cassuto:
Optimizing Write Fidelity of MRAMs by Alternating Water-Filling Algorithm. IEEE Trans. Commun. 70(9): 5825-5836 (2022) - [c21]Yongwoo Lee, Joon-Woo Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, HyungChul Kang:
High-Precision Bootstrapping for Approximate Homomorphic Encryption by Error Variance Minimization. EUROCRYPT (1) 2022: 551-580 - [c20]Eunsang Lee, Joon-Woo Lee, Junghyun Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, Woosuk Choi:
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions. ICML 2022: 12403-12422 - [c19]Jiheon Woo, Chanhee Yoo, Young-Sik Kim, Yuval Cassuto, Yongjune Kim:
Generalized Longest Repeated Substring Min-Entropy Estimator. ISIT 2022: 342-347 - [c18]Daewon Seo, Yongjune Kim:
Information and Energy Transmission with Wavelet-Reconstructed Harvesting Functions. ISIT 2022: 754-759 - [c17]Yuval Ben-Hur, Asaf Goren, Da El Klang, Yongjune Kim, Yuval Cassuto:
Mitigating Noise in Ensemble Classification with Real-Valued Base Functions. ISIT 2022: 2279-2284 - [i21]Seonhyeong Kim, Jiheon Woo, Daewon Seo, Yongjune Kim:
Communication-Efficient and Drift-Robust Federated Learning via Elastic Net. CoRR abs/2210.02940 (2022) - 2021
- [j11]Yongjune Kim, Cyril Guyot, Young-Sik Kim:
On the Efficient Estimation of Min-Entropy. IEEE Trans. Inf. Forensics Secur. 16: 3013-3025 (2021) - [c16]Yuval Cassuto, Yongjune Kim:
Boosting for Straggling and Flipping Classifiers. ISIT 2021: 2441-2446 - [i20]Jun-Woo Tak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No:
Weakly Private Information Retrieval Under Rényi Divergence. CoRR abs/2105.08114 (2021) - [i19]Junghyun Lee, Eunsang Lee, Joon-Woo Lee, Yongjune Kim, Young-Sik Kim, Jong-Seon No:
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data. CoRR abs/2105.10879 (2021) - [i18]Yongjune Kim, Yoocharn Jeon, Hyeokjin Choi, Cyril Guyot, Yuval Cassuto:
Optimizing Write Fidelity of MRAMs via Iterative Water-filling Algorithm. CoRR abs/2112.02842 (2021) - [i17]Jiheon Woo, Chanhee Yoo, Young-Sik Kim, Yuval Cassuto, Yongjune Kim:
Generalized LRS Estimator for Min-entropy Estimation. CoRR abs/2112.09376 (2021) - [i16]Eunsang Lee, Joon-Woo Lee, Junghyun Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, Woosuk Choi:
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Convolutions. IACR Cryptol. ePrint Arch. 2021: 1688 (2021) - 2020
- [j10]Mingu Kang, Yongjune Kim, Ameya D. Patil, Naresh R. Shanbhag:
Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(5): 1627-1639 (2020) - [j9]Qing Li, Yang Chen, Yongjune Kim:
Compression by and for Deep Boltzmann Machines. IEEE Trans. Commun. 68(12): 7498-7510 (2020) - [c15]Yongjune Kim, Yuval Cassuto, Lav R. Varshney:
Distributed Boosting Classifiers over Noisy Channels. ACSSC 2020: 1491-1496 - [c14]Yongjune Kim, Yoocharn Jeon, Cyril Guyot, Yuval Cassuto:
Optimizing the Write Fidelity of MRAMs. ISIT 2020: 792-797 - [i15]Yongjune Kim, Yoocharn Jeon, Cyril Guyot, Yuval Cassuto:
Optimizing the Write Fidelity of MRAMs. CoRR abs/2001.03803 (2020) - [i14]Yongjune Kim, Cyril Guyot, Young-Sik Kim:
On the Efficient Estimation of Min-Entropy. CoRR abs/2009.09570 (2020) - [i13]Yongjune Kim, Cyril Guyot, Young-Sik Kim:
On the Efficient Estimation of Min-Entropy. IACR Cryptol. ePrint Arch. 2020: 1140 (2020)
2010 – 2019
- 2019
- [j8]Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag:
Minimum Precision Requirements of General Margin Hyperplane Classifiers. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 253-266 (2019) - [j7]Yongjune Kim, Ravi Kiran Raman, Young-Sik Kim, Lav R. Varshney, Naresh R. Shanbhag:
Efficient Local Secret Sharing for Distributed Blockchain Systems. IEEE Commun. Lett. 23(2): 282-285 (2019) - [j6]Naresh R. Shanbhag, Naveen Verma, Yongjune Kim, Ameya D. Patil, Lav R. Varshney:
Shannon-Inspired Statistical Computing for the Nanoscale Era. Proc. IEEE 107(1): 90-107 (2019) - [c13]Yongjune Kim, Won Ho Choi, Cyril Guyot, Yuval Cassuto:
On the Optimal Refresh Power Allocation for Energy-Efficient Memories. GLOBECOM 2019: 1-6 - [i12]Yongjune Kim, Won Ho Choi, Cyril Guyot, Yuval Cassuto:
On the Optimal Refresh Power Allocation for Energy-Efficient Memories. CoRR abs/1907.01112 (2019) - [i11]Yongjune Kim, Yuval Cassuto, Lav R. Varshney:
Boosting Classifiers with Noisy Inference. CoRR abs/1909.04766 (2019) - 2018
- [j5]Yongjune Kim, B. V. K. Vijaya Kumar:
Redundancy allocation in finite-length nested codes for nonvolatile memories. J. Commun. Networks 20(4): 354-365 (2018) - [j4]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs. IEEE Trans. Commun. 66(10): 4826-4841 (2018) - [c12]Sujan K. Gonugondla, Mingu Kang, Yongjune Kim, Mark Helm, Sean Eilert, Naresh R. Shanbhag:
Energy-Efficient Deep In-memory Architecture for NAND Flash Memories. ISCAS 2018: 1-5 - [c11]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
SRAM Bit-line Swings Optimization using Generalized Waterfilling. ISIT 2018: 1670-1674 - [i10]Yongjune Kim, B. V. K. Vijaya Kumar:
Redundancy allocation in finite-length nested codes for nonvolatile memories. CoRR abs/1803.00117 (2018) - 2017
- [c10]Charbel Sakr, Ameya D. Patil, Sai Zhang, Yongjune Kim, Naresh R. Shanbhag:
Minimum precision requirements for the SVM-SGD learning algorithm. ICASSP 2017: 1138-1142 - [c9]Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag:
Analytical Guarantees on Numerical Precision of Deep Neural Networks. ICML 2017: 3007-3016 - [c8]Yingyan Lin, Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag:
PredictiveNet: An energy-efficient convolutional neural network via zero prediction. ISCAS 2017: 1-4 - [i9]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
Generalized Water-filling for Source-Aware Energy-Efficient SRAMs. CoRR abs/1710.07153 (2017) - 2016
- [b1]Yongjune Kim:
Writing on Dirty Memory. Carnegie Mellon University, USA, 2016 - [j3]Yongjune Kim, Abhishek A. Sharma, Robert Mateescu, Seung-Hwan Song, Zvonimir Z. Bandic, James A. Bain, B. V. K. Vijaya Kumar:
Locally Rewritable Codes for Resistive Memories. IEEE J. Sel. Areas Commun. 34(9): 2470-2485 (2016) - [c7]Yongjune Kim, Abhishek A. Sharma, Robert Mateescu, Seung-Hwan Song, Zvonimir Z. Bandic, James A. Bain, B. V. K. Vijaya Kumar:
Locally rewritable codes for resistive memories. ICC 2016: 1-7 - [c6]Yongjune Kim, B. V. K. Vijaya Kumar:
Duality between erasures and defects. ITA 2016: 1-10 - [i8]Yongjune Kim, Abhishek A. Sharma, Robert Mateescu, Seung-Hwan Song, Zvonimir Z. Bandic, James A. Bain, B. V. K. Vijaya Kumar:
Locally rewritable codes for resistive memories. CoRR abs/1602.01202 (2016) - [i7]Yongjune Kim, B. V. K. Vijaya Kumar:
Duality between erasures and defects. CoRR abs/1602.03536 (2016) - 2015
- [c5]Yongjune Kim, Robert Mateescu, Seung-Hwan Song, Zvonimir Bandic, B. V. K. Vijaya Kumar:
Coding scheme for 3D vertical flash memory. ICC 2015: 264-270 - 2014
- [c4]Yongjune Kim, B. V. K. Vijaya Kumar:
Writing on dirty flash memory. Allerton 2014: 513-520 - [i6]Yongjune Kim, B. V. K. Vijaya Kumar:
On the Duality of Erasures and Defects. CoRR abs/1403.1897 (2014) - [i5]Yongjune Kim, B. V. K. Vijaya Kumar:
Writing on dirty flash memory. CoRR abs/1410.1775 (2014) - [i4]Yongjune Kim, Robert Mateescu, Seung-Hwan Song, Zvonimir Bandic, B. V. K. Vijaya Kumar:
Coding scheme for 3D vertical flash memory. CoRR abs/1410.8541 (2014) - 2013
- [c3]Yongjune Kim, B. V. K. Vijaya Kumar:
Coding for memory with stuck-at defects. ICC 2013: 4347-4352 - [c2]Yongjune Kim, B. V. K. Vijaya Kumar, Kyoung Lae Cho, Hongrak Son, Jaehong Kim, Jun Jin Kong, Jaejin Lee:
Modulation coding for flash memories. ICNC 2013: 961-967 - [c1]Yongjune Kim, B. V. K. Vijaya Kumar:
Redundancy allocation of partitioned linear block codes. ISIT 2013: 2374-2378 - [i3]Yongjune Kim, Kyoung Lae Cho, Hongrak Son, Jaehong Kim, Jun Jin Kong, Jaejin Lee, B. V. K. Vijaya Kumar:
Modulation Coding for Flash Memories. CoRR abs/1304.4811 (2013) - [i2]Yongjune Kim, B. V. K. Vijaya Kumar:
Coding for Memory with Stuck-at Defects. CoRR abs/1304.4821 (2013) - [i1]Yongjune Kim, B. V. K. Vijaya Kumar:
Redundancy Allocation of Partitioned Linear Block Codes. CoRR abs/1305.3289 (2013) - 2012
- [j2]Yongjune Kim, Jaehong Kim, Jun Jin Kong, B. V. K. Vijaya Kumar, Xin Li:
Verify level control criteria for multi-level cell flash memories and their applications. EURASIP J. Adv. Signal Process. 2012: 196 (2012)
2000 – 2009
- 2009
- [j1]Yongjune Kim, Ho-Yun Kim, Minjoong Rim, Dae-Woon Lim:
On the Optimal Cyclic Delay Value in Cyclic Delay Diversity. IEEE Trans. Broadcast. 55(4): 790-795 (2009)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 20:49 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint